Research Article

Discovering Insightful Rules among Truck Crash Characteristics using Apriori Algorithm

Table 10

Association rules by geometry.

LHSRHSItemsetαβLift

{Median: no median, Segment: TG, Vehicle weight: >8.5 t}{Horizontal alignment: straight}4-itemset0.02221.00001.6416
{Median: no median, Segment: TG, Time: t6–11}4-itemset0.02431.00001.6416
{Driver age: 20s, Region: Changwon, Route: Namhae-line, Vertical alignment: no slope}5-itemset0.02061.00001.6416
{Crash type: vehicle-facility, Driver age: 20s, Median: no median, Segment: TG}5-itemset0.02021.00001.6416
{Crash type: vehicle-facility, Median: no median, Segment: TG, Time: t6–11}4-itemset0.02271.00001.6416

{Driver age: 20s, Median: no median, Segment: TG, Shoulder: no guardrail}{Vertical alignment: no slope}4-itemset0.02120.99751.6574
{Driver age: 20s, Horizontal alignment: straight, Median: no median, Number of vehicles: single, Segment: TG}6-itemset0.02100.99751.6573
{Cause: negligence, Horizontal alignment: straight, Level: D, Segment: TG, Vehicle weight: >8.5 t}6-itemset0.02100.99751.6573
{Crash type: vehicle -facility, Horizontal alignment: straight, Median: no median, Shoulder: no guardrail, Vehicle type: cargo truck, Weather: rainy}7-itemset0.02010.98711.6400
{Cause: negligence, Horizontal alignment: straight, Number of vehicles: single, Segment: TG, Time: t6–11}6-itemset0.02410.98711.6400